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Machine Learning Scientist Intern Jobs in St Louis, MO

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Machine Learning Tutor

Saint Louis, MO · Remote

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... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Machine Learning Scientist Intern information

See St Louis, MO salary details

$24.8K

$41.4K

$85.6K

How much do machine learning scientist intern jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning scientist intern in St. Louis, MO is $41,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What does a machine learning scientist intern do?

A Machine Learning Scientist Intern typically assists in designing, developing, and testing machine learning models to solve real-world problems. They collaborate with experienced scientists and engineers to analyze data, select appropriate algorithms, and evaluate model performance. Interns often contribute to research projects, data preprocessing, and implementation of prototypes. This role provides valuable hands-on experience in applying machine learning techniques to practical challenges and often involves learning and using tools such as Python, TensorFlow, or PyTorch.

What kinds of projects and collaborations can a machine learning scientist intern expect during their internship?

As a Machine Learning Scientist Intern, you can expect to work on real-world data-driven projects, often involving tasks like data preprocessing, developing and testing machine learning models, and analyzing model performance. Interns typically collaborate with experienced data scientists, engineers, and sometimes product teams, participating in regular meetings and code reviews. This role offers hands-on experience with large datasets and modern ML frameworks, along with mentorship to help you grow your technical and research skills. Working cross-functionally is common, so strong communication and teamwork are valuable assets.

What are the key skills and qualifications needed to thrive as a machine learning scientist intern, and why are they important?

To thrive as a Machine Learning Scientist Intern, you generally need a solid foundation in mathematics, statistics, and programming (especially Python), often supported by coursework or research experience in machine learning. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems is typically expected. Strong problem-solving skills, curiosity, and effective communication help interns stand out when collaborating and presenting results. These skills and qualities are vital for effectively developing models, interpreting data, and contributing to innovative projects in a team environment.

What are the most commonly searched types of Machine Learning Scientist jobs in St. Louis, MO?

The most popular types of Machine Learning Scientist jobs in St. Louis, MO are:

Machine Learning Scientist Intern jobs near you

Research Scientist Intern (2025)

Whiterabbit.ai

Saint Louis, MO • On-site

Other

Re-posted 15 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply